Triple
T9511937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chojnice |
E229417
|
entity |
| Predicate | hasSportsClub |
P346
|
FINISHED |
| Object | Chojniczanka Chojnice |
E775728
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Chojniczanka Chojnice | Statement: [Chojnice, hasSportsClub, Chojniczanka Chojnice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chojniczanka Chojnice Context triple: [Chojnice, hasSportsClub, Chojniczanka Chojnice]
-
A.
Chojnice
Chojnice is a historic town in northern Poland known for its medieval architecture and role as a local cultural and economic center.
-
B.
Chojnice, Poland
chosen
Chojnice is a historic town in northern Poland’s Pomeranian Voivodeship, known for its medieval architecture and role as a local cultural and economic center.
-
C.
Choszczno
Choszczno is a small town in northwestern Poland known for its lakes, forests, and role as a local administrative and service center.
-
D.
Chodzież
Chodzież is a town in west-central Poland known for its ceramics industry and picturesque lakeside setting.
-
E.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca84777560819084cddd999badc1aa |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98699b788190b1a475e1b1883584 |
completed | April 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d13a37c7ec8190a24ae0eec76b4f67 |
completed | April 4, 2026, 4:20 p.m. |
Created at: March 30, 2026, 7:58 p.m.